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Taschenbuch. Zustand: Neu. Neuware - Hands-On Agentic AI for DevSecOps: A Practical Guide to Building Autonomous Security Agents, Secure Tool Sandboxing, and Self-Correcting Software PipelinesTraditional software security boundaries are broken, and automated scanners only shift the cognitive burden of remediation onto overwhelmed engineering teams. When a vulnerability flags in an active code branch, human intervention remains the ultimate bottleneck, slowing down deployment velocities and exposing infrastructure to windowed exploits.Are your engineering teams losing the battle against security debt and alert fatigue Do you want to move large language models out of passive text sandboxes and insert them directly into your development pipelines as programmatic self-healing infrastructure utilities This manual delivers the production-grade, asynchronous blueprint to transform security from a reactive human chore into an autonomous control plane. Moving completely away from raw generative AI capability alone, this guide wraps probabilistic models inside strict, deterministic engineering frameworks to engineer resilient, zero-trust architectures from scratch.Unlike theoretical abstractions or cloud vendor marketing texts, this book stands out by delivering complete, self-contained Python and Model Context Protocol (MCP) implementations. Every chapter provides hands-on patterns for building asynchronous shell execution engines, kernel-level containerization rules, rule-based output validation, and adversarial multi-agent negotiation frameworks.By implementing these patterns systematically, you will gain the precise architectural knowledge to: - Construct turn-based execution frameworks pitting Builder Agents against Adversarial Critic Agents.- Implement safe bidirectional file transfer protocols using memory-buffered TAR streams to isolate host filesystems.- Enforce semantic guardrails using real-time vector embedding input classifiers to block prompt injections.- Combine probabilistic models with deterministic abstract syntax tree (AST) parsers to eliminate regressions.This practical masterclass is written directly for technical leaders, principal DevSecOps architects, application security engineers, and software systems designers driving enterprise infrastructure practices.…

Taschenbuch. Zustand: Neu. Neuware - FastAPI MCP Gateway for Web Apps: Build Secure AI Agent Gateways That Connect APIs, Tools, Databases, and SaaS Workflows with Production-Ready PythonProblem StatementAI agents are powerful-but connecting them directly to real web apps, APIs, databases, and internal tools can create serious security and reliability problems.How do you let an agent take useful action without giving it unchecked access How do you expose tools, protect data, enforce permissions, and keep every request visible, testable, and controlled SolutionFastAPI MCP Gateway for Web Apps gives Python developers a practical path to building secure AI agent gateways with FastAPI, MCP, and production-ready backend patterns.Instead of treating agent integration as a quick script or risky plugin, this book shows you how to design a controlled gateway layer between AI systems and real application workflows. You will learn how to structure a FastAPI project, define MCP tools, validate inputs, return structured outputs, connect databases and SaaS workflows, manage permissions, add consent gates, log activity, and prepare the gateway for deployment.ProofThis book stands out because it focuses on real backend engineering, not flashy AI theory. Inside, you get a build-first workflow with practical code, clear architecture, security controls, database patterns, API integrations, testing guidance, Docker setup, and deployment direction.You will gain the confidence to: Build FastAPI-based MCP gatewaysExpose agent tools safelyControl access with auth, roles, scopes, and consentConnect APIs, PostgreSQL, and SaaS workflowsAdd logging, retries, rate limits, and observabilityDeploy a gateway with production-minded structureIdeal for Python developers, backend engineers, AI app builders, SaaS teams, and technical founders, this book helps you connect AI agents to real systems without losing control.…

Taschenbuch. Zustand: Neu. Neuware - Generative AI with LangChain, RAG, and MCP: Build Production-Ready AI Agents, Retrieval Systems, and Tool-Connected LLM Applications with PythonStop building AI demos that fall apart when real users, real documents, and real workflows enter the picture.Many developers can make a chatbot respond. Far fewer can build a generative AI application that retrieves the right context, uses tools safely, handles errors, returns grounded answers, and runs behind a clean production-ready structure.Generative AI with LangChain, RAG, and MCP gives you a practical path for building modern AI applications with Python, LangChain, Retrieval-Augmented Generation, LangGraph, and the Model Context Protocol. Instead of treating these technologies as separate buzzwords, this book shows how they work together inside useful AI systems.You will learn how to set up a clean Python AI project, connect language models, prepare documents for RAG, create embeddings, use vector stores, build retrievers, return source-grounded answers, evaluate retrieval quality, debug failures, design agent workflows, connect tools with MCP, and prepare applications for deployment with FastAPI and Docker.Inside, you will gain practical skills for building: - document question-answering systems- internal knowledge assistants- customer support RAG agents- tool-connected AI workflows- LangGraph-based agent systems- MCP servers, clients, and integrations- production-ready AI applications with logging, validation, and security controlsThis book is for Python developers, software engineers, AI builders, technical founders, students, and self-taught programmers who want to move beyond simple prompts and build AI systems that are structured, maintainable, and useful.…

Taschenbuch. Zustand: Neu. Neuware - LlamaIndex Data Agents: Create Production-Ready AI Assistants for Documents, Databases, APIs, and Enterprise WorkflowsBuild AI assistants that work with real business data, not fragile chatbot demos that fall apart outside a test prompt.Are your documents, databases, APIs, reports, and internal tools scattered across too many systems Do you want to build AI agents that can retrieve evidence, answer business questions, use tools, query SQL data, and support enterprise workflows with more control LlamaIndex Data Agents gives developers and technical teams a practical path for building production-ready AI assistants using LlamaIndex. Instead of stopping at basic RAG, this book shows how to design data agents that can search documents, prepare business data, use query engines, call tools, work with SQL databases, combine multiple data sources, and support safer workflow automation.Inside, you'll learn how to: - Set up a clean Python and LlamaIndex project- Load PDFs, text files, Markdown, CSV, JSON, and web data- Build reliable retrieval pipelines and query engines- Create document Q&A assistants with source-aware answers- Design tool-using agents for search, calculation, extraction, and validation- Build SQL and structured data agents for business questions- Combine documents, databases, and APIs in hybrid workflows- Use LlamaParse and LlamaCloud for document intelligence- Add multi-agent workflows, human approval, validation, logging, evaluation, FastAPI deployment, Docker, and monitoringThis book is written for Python developers, AI engineers, software engineers, data engineers, analytics engineers, and technical builders who want practical, maintainable AI systems over real data. …

Taschenbuch. Zustand: Neu. Neuware - Claude AI Prompt Engineering: Create Powerful Prompts, Smarter Workflows, and Practical AI Systems for Writing, Research, Business, and ProductivityStop getting vague answers, wasted outputs, and inconsistent results from Claude AI.You know Claude can help with writing, research, business planning, productivity, and everyday problem-solving-but your results depend on the quality of your prompts. Are you still rewriting the same instructions, fixing weak responses, or wondering how to turn Claude into a reliable work assistant instead of a random chatbot SolutionClaude AI Prompt Engineering gives you a practical system for writing clearer prompts, building smarter workflows, and creating useful AI-assisted processes you can apply immediately.This book shows you how to move from basic questions to structured instructions, reusable prompt templates, research workflows, writing systems, business use cases, and practical AI processes that save time and improve output quality.Inside, you will learn how to: - Write prompts that produce focused, useful responses- Structure Claude instructions for writing, research, planning, and analysis- Build reusable prompt templates for repeated tasks- Create step-by-step workflows for business and productivity- Improve Claude's outputs with context, examples, roles, constraints, and review steps- Turn AI conversations into practical systems you can use every dayProofDesigned for beginners, professionals, writers, students, entrepreneurs, researchers, and business users, this book focuses on clear steps, practical examples, checklists, and real-world prompt engineering methods-not theory-heavy explanations.If you want a straightforward Claude AI guide that helps you work faster, think clearer, and build better AI-powered workflows, this book gives you the structure to start using Claude with confidence.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Agentic Software Development with Claude CodeBuild Production-Ready Coding Workflows with AI Agents, GitHub Automation, Testing, Refactoring, Security, and Team StandardsAI coding tools can write code fast, but fast code can still break tests, ignore architecture, create messy diffs, expose secrets, or leave teams unsure about what actually changed. Are you using Claude Code as a serious development partner, or just hoping better prompts will produce cleaner software SolutionAgentic Software Development with Claude Code gives developers a practical system for turning Claude Code into a controlled, repeatable engineering workflow. You will learn how to install and configure Claude Code, prepare safe project workspaces, build durable CLAUDE.md instructions, write task requests that guide exploration before editing, manage Git branches and checkpoints, add tests, debug failures, refactor carefully, and prepare pull requests for human review.Inside, you'll learn practical workflows for: - Agentic coding loops that inspect, plan, edit, run, verify, and repeat- GitHub issues, pull requests, CI failures, and review comments- Testing, regression coverage, refactoring, and technical debt cleanup- Security boundaries, permissions, hooks, secrets protection, and approval gates- Team standards for consistent Claude Code adoptionProofWhat makes this book stand out is its working-developer focus. It is self-contained, with commands, prompts, configuration patterns, templates, checklists, and automation examples included directly in the book-no dedicated companion repository required.Perfect for software developers, team leads, startup builders, DevOps-minded engineers, and technical managers who want AI-assisted coding without sacrificing quality, accountability, or review discipline.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.